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Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services
  in Vehicular Networks

Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks

13 February 2020
Yan Liu
Zhiyuan Jiang
Shunqing Zhang
Shugong Xu
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks"

4 / 4 papers shown
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Is High Variance Unavoidable in RL? A Case Study in Continuous ControlInternational Conference on Learning Representations (ICLR), 2021
Johan Bjorck
Daniel Schwalbe-Koda
Kilian Q. Weinberger
298
34
0
21 Oct 2021
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
Deep Learning Beam Optimization in Millimeter-Wave Communication SystemsSymposium on Software Performance (SP), 2021
R. Ismayilov
Renato L. G. Cavalcante
Slawomir Stañczak
111
2
0
16 Jul 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half
  Precision
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half PrecisionInternational Conference on Machine Learning (ICML), 2021
Johan Bjorck
Xiangyu Chen
Christopher De Sa
Daniel Schwalbe-Koda
Kilian Q. Weinberger
392
5
0
26 Feb 2021
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave
  Communication Systems
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication SystemsIEEE Transactions on Communications (IEEE Trans. Commun.), 2021
Ke Ma
Dongxuan He
Hancun Sun
Zhaocheng Wang
Sheng Chen
235
94
0
08 Jan 2021
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